UC Davis Prof. Kwan-Liu Ma 嚗擐砍∪剜嚗餃僑靘閮芾蝘銝剖嚗Z岷芯頝典桐雿銋航賣扼擐祆撠怠之潛 – 皜銝瘝喳雿孵交頞嚗餈乩賢芯賣脖甇亙雿嚗芯典蔣閬閬箏敶勗菜葫銵賜策鈭抬隞亙冽訾批捆銝臭脖甇乩典雿
Prof. Kwan-Liu Ma 嚗擐砍∪剜) 蝛園嚗

Parallel & Distributed Visualization
Visualizing large, complex volume data demands parallel or Grid-based solutions. We intend to realize a fully parallelized visualization pipeline. We have developed scalable parallel rendering algorithms for a variety of volume data, designed highly efficient software and hardware image compositing solutions, and built clusters targeting large-scale visualization applications. Most of the performance studies have been done on the massively parallel computers operated at LANL, LBL, LLNL, and PSC.

Information Visualization
Our research in information visualization focuses on very large graph visualization, visual-based data mining, and interactive browsing of large data sets. A particular topic of interest is security data visualization. We are also interested in studying the information visualization aspect of scientific visualization problems–visualizing visualizations!

User Interfaces
We develop visual interfaces that can help scientists keep track of their visualization experience and findings, use it to generate new visualizations, and share it with others. We also investigate how intelligent systems can assist sophisticated, time-consuming visualization tasks, and consequently simplify the user interfaces for performing the tasks.